Generative AI develops potential new drugs for antibiotic-resistant bacteria

Acinetobacter baumannii. Credit: Vader1941 / Wikimedia / CC BY-SA 4.0

With nearly 5 million deaths linked to antibiotic resistance globally every year, new ways to combat resistant bacterial strains are urgently needed.

Researchers at Stanford Medicine and McMaster University are tackling this problem with generative artificial intelligence. A new model, dubbed SyntheMol (for synthesizing molecules), created structures and chemical recipes for six novel drugs aimed at killing resistant strains of Acinetobacter baumannii, one of the leading pathogens responsible for antibacterial resistance-related deaths.
The researchers described their model and experimental validation of these new compounds in a study published March 22 in the journal Nature Machine …

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